ReviewMini reviews in medicinal chemistry2026
Carbon Dot Nanoparticle-based Therapeutic Approaches in Major Neurological Disorders.
Review in Mini reviews in medicinal chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Chemistry of Materials and Emerging Techniques: Future of Drug Discovery and Medicinal Product Developments.Mini reviews in medicinal chemistry · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neurological disorders (NDs) are diseases that arise due to deformities mainly in the central nervous system (CNS) and also affect the nerves throughout the human body. NDs, including Alzheimer's disease (AD), Parkinson's disease (PD), Multiple Sclerosis (MS), and a variety of brain malignancies, pose a major healthcare challenge and are the main cause of mortality on the global scale. There are very limited treatment options for the majority of the NDs, and the currently available drugs commonly fail to penetrate the BBB and deliver the drug to the target effectively. These challenges have necessitated the advent of new drug delivery methods that can cross the BBB with ease and deliver the drug by accurately targeting the diseased area in a safe and biocompatible manner. Nanoparticle-based drug delivery strategies offer significant advantages in BBB penetration and drug delivery due to their unique properties. Carbon dots, among nanoparticles with a size below 10 nm, are highly biocompatible, fluorescent molecules that offer ease of functionalization, drug conjugation, and effective detection within biological systems. The literature is rich in reviews on the synthesis, characterization, and application of CDs. However, a review specifically focused on the therapeutic potential of CDs in major NDs is missing. This review aims to fill that gap by presenting a detailed account of the carbon dot-based therapeutic approaches in the treatment of major NDs. It briefly discusses the properties of CDs, the main routes of synthesis, major raw materials, and key synthesis parameters that affect their properties, while placing a greater emphasis on their therapeutic potential. The review provides a detailed assessment of literature from the past 15 years on the development and current challenges in the application of CDs as therapeutic and drug delivery agents. Our analysis reveals that limited research has been conducted on CD-based therapeutics in NDs, particularly in MS and brain tumors, where original research is scarce. This review article highlights the major developments in the therapeutic uses of carbon dots in NDs, addresses a critical research gap, and provides a comprehensive overview of various studies related to carbon-dot-based therapeutic approaches for major NDs.
Indexed as
Identifiers
41088943What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.